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    Layout Optimization of Vertical-Axis Wind Turbines Based on a Power-Predicting Neural Network

    Source: Journal of Engineering Mechanics:;2025:;Volume ( 151 ):;issue: 011::page 04025062-1
    Author:
    Zhang, Xu
    ,
    Wang, Zhongtao
    ,
    Wang, Zheng
    ,
    Fang, Yan
    ,
    Li, Wei
    DOI: 10.1061/JENMDT.EMENG-8089
    Publisher: American Society of Civil Engineers
    Abstract: AbstractA novel layout optimization framework for vertical-axis wind turbines (VAWTs) in a wind farm is developed by building a power prediction neural network and improving a 2D_k Jensen engineering wake model. First, for a single hidden layer back-...
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      Layout Optimization of Vertical-Axis Wind Turbines Based on a Power-Predicting Neural Network

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4311275
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    contributor authorZhang, Xu
    contributor authorWang, Zhongtao
    contributor authorWang, Zheng
    contributor authorFang, Yan
    contributor authorLi, Wei
    date accessioned2026-08-20T10:48:05Z
    date available2026-08-20T10:48:05Z
    date copyright2025/09/08
    date issued2025
    identifier otherJENMDT.EMENG-8089.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311275
    description abstractAbstractA novel layout optimization framework for vertical-axis wind turbines (VAWTs) in a wind farm is developed by building a power prediction neural network and improving a 2D_k Jensen engineering wake model. First, for a single hidden layer back-...
    publisherAmerican Society of Civil Engineers
    titleLayout Optimization of Vertical-Axis Wind Turbines Based on a Power-Predicting Neural Network
    typeJournal Article
    journal volume151
    journal issue11
    journal titleJournal of Engineering Mechanics
    identifier doi10.1061/JENMDT.EMENG-8089
    journal fristpage04025062-1
    journal lastpage04025062-14
    page14
    treeJournal of Engineering Mechanics:;2025:;Volume ( 151 ):;issue: 011
    contenttypeFulltext
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